Triple
T34401195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassadaga, New York |
E882981
|
entity |
| Predicate | locatedInLandform |
P30683
|
FINISHED |
| Object | Allegheny Plateau |
E702964
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Allegheny Plateau | Statement: [Cassadaga, New York, locatedInLandform, Allegheny Plateau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInLandform Context triple: [Cassadaga, New York, locatedInLandform, Allegheny Plateau]
-
A.
locatedInGeographicFeature
chosen
Indicates that something is situated within or on a specific natural geographic feature (such as a mountain, river, valley, or lake).
-
B.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
C.
locatedOnPeak
Indicates that one entity is situated at or on the summit or highest point of another entity (a peak).
-
D.
situatedAmong
Indicates that an entity is located within or surrounded by multiple other entities in its immediate environment.
-
E.
locatedInBasin
Indicates that one geographical or hydrological feature lies within the drainage or catchment area of a specified basin.
- F. None of above.
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a370dca12708190a1098b9c19c24b49 |
completed | June 20, 2026, 10:01 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:59 a.m.